Abstract : An optimal filter is developed for constructing a minimum variance estimate of the state of a linear system when the available data consists of noisy, time-delayed observations of the state. The delay is taken to be constant, and as a result the filter is specified by differential-difference equations and may be implemented on-line. (Author)